← Search

Mian Ilyas Ahmad

2 accepted papers

2024

Higher Order Multiple Graph Filtering for Structured Graph Learning

ICASSP 2024accepted

In the field of machine learning, multi-view clustering aims to reveal hidden clustering patterns across different data perspectives. However, traditional methods often struggle due to their reliance on low-order similarity data. To overcome this, we propose a new approach that integrates the learni…

Cited by 0SourceScholar
2024

K-Means Clustering Based on Chebyshev Polynomial Graph Filtering

ICASSP 2024accepted

Clustering, a key unsupervised learning method, is widely used in various fields. While the classic K-means algorithm is popular, it often neglects valuable high-order information in data. To address this, we have proposed an improved K-means algorithm incorporating a Chebyshev polynomial approximat…

Cited by 0SourceScholar